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*					1) P. JIA, 2D Statistical Models, Technical Report of Vision Open Working Group,	*
*					2st Edition, October 21, 2010. 														*
*					http://www.visionopen.com/members/jiapei/publications/pei_sm2dreport2010.pdf		*
* 					2) P. JIA. Audio-visual based HMI for an Intelligent Wheelchair. PhD thesis,		*
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*					Manchester, March 8, 2004.															*
*					http://www.isbe.man.ac.uk/~bim/Models/app_models.pdf								*
*					4) I. Matthews and S. Baker. Active appearance models revisited. International 		*
*					Journal of Computer Vision, 60(2):135–164, November 2004.							*
*					http://www.ri.cmu.edu/pub_files/pub4/matthews_iain_2004_2/matthews_iain_2004_2.pdf	*
*					5) M. B. Stegmann, Active Appearance Models: Theory, Extensions and Cases,			*
*					http://www2.imm.dtu.dk/~aam/main/, 2000												*
* 																										*
* Version:          0.3.2                                                     							*
* Author:           JIA Pei                                                 							*
* Contact:          jp4work@gmail.com                                       							*
* URL:              http://www.visionopen.com                               							*
* Create Date:      2010-11-04                                             								*
* Revise Date:      2010-08-04                                             								*
********************************************************************************************************/

#ifndef __DETECTIONALGS_H__
#define __DETECTIONALGS_H__

#include <cstring>
#include "opencv/cv.h"
#include "opencv/cvaux.h"
#include "opencv/highgui.h"
#include "../cvcommon/VO_CVCommon.h"
#include "../ensembletraining/VO_AdditiveStrongerClassifier.h"

using namespace std;
using namespace cv;


/** 
 * @author		JIA Pei
 * @brief		Object detection algorithms.
 */
class CDetectionAlgs
{
friend class CLocalizationAlgs;
protected:
	/** Detected face rectangles */
	vector<Rect> 				m_vDetectedObjectRects;

	/** Detection Method */
	unsigned int				m_iDetectionMethod;
	
	/** Either load a cascade file for boosting, or a boostrap file for rtree */
	string						m_sFile2BLoad;

	/** bagging random forest classifier */
	RTreeClassifier				m_rtreeClassifier;
	
	/** boosting cascade classifier */
	CascadeClassifier			m_cascadeClassifier;

	/** Whether .... is detected */
    bool                        m_bObjectDetected;

	/** Initializationi */
	void						init(const string& str, unsigned int mtd);

public:
	/** Constructor */
	CDetectionAlgs(const string& str="", unsigned int mtd=VO_AdditiveStrongerClassifier::BOOSTING);

	/** Destructor */
	~CDetectionAlgs();

	void						SetConfiguration(const string& str, unsigned int mtd)
	{
								this->m_iDetectionMethod		= mtd;
								switch(this->m_iDetectionMethod)
								{
									case VO_AdditiveStrongerClassifier::BAGGING:
									{
										if(str!="")				this->SetBaggingRTree(str);
									}
									break;
									case VO_AdditiveStrongerClassifier::BOOSTING:
									{
										if(str!="")				this->SetBoostingCascade(str);
									}
									default:
									break;
								}
	}
	void						SetBaggingRTree(const string& str)
	{
								this->m_sFile2BLoad			= str;
								this->m_rtreeClassifier.read( this->m_sFile2BLoad.c_str() );
	}
	void						SetBoostingCascade(const string& str)
	{
								this->m_sFile2BLoad			= str;
								this->m_cascadeClassifier.load( this->m_sFile2BLoad );
	}

	double						Detection(	const Mat& img,
											const Rect* confinedArea = NULL,
											const double scale = 1.0,
											Size smallSize = Size(FACESMALLESTSIZE, FACESMALLESTSIZE),
											Size bigSize = Size(FACEBIGGESTSIZE, FACEBIGGESTSIZE) );
	static double				BaggingDetection( 	const RTreeClassifier& rtree,
													const Mat& img,
													vector<Rect>& objs,
													const Rect* confinedArea = NULL,													
													const double scale = 1.0,
													Size smallSize = Size(FACESMALLESTSIZE, FACESMALLESTSIZE),
													Size bigSize = Size(FACEBIGGESTSIZE, FACEBIGGESTSIZE));
	static double				BoostingDetection( 	const CascadeClassifier& cascade,
													const Mat& img,
													vector<Rect>& objs,
													const Rect* confinedArea = NULL,													
													const double scale = 1.0,
													Size smallSize = Size(FACESMALLESTSIZE, FACESMALLESTSIZE),
													Size bigSize = Size(FACEBIGGESTSIZE, FACEBIGGESTSIZE));

	/** Draw all detected objects on the image */
	void                        VO_DrawDetection(Mat& ioImg, Scalar color = colors[6]);

	/** Is object detected? */
	bool						IsObjectDetected() const {return this->m_bObjectDetected; }
	
	/** Return detected face parts rectangles */
	vector<Rect> 				GetDetectedObjectRects() const { return this->m_vDetectedObjectRects; }
};

#endif	// __DETECTIONALGS_H__
